Machine Learning Intern – We are seeking a passionate and motivated Software Engineer – (Machine Learning) Intern to join our product engineering team.
Experience : Fresh Graduate
Location : Fujitsu India R&D Center (1Finity), Bangalore
Position Type: Development
About Fujitsu
Fujitsu is a multibillion-dollar global corporation with approximately 124,000 professionals operating in multiple countries. Fujitsu has served as a trusted partner to the worldwide telecommunications industry for more than 85 years.
More information about Fujitsu’s network products can be found at: https://www.fujitsu.com/us/products/network/
Job Summary:
This role demands strong proficiency in Python programming, ML Algorithms and libraries, exposure to cloud native microservices development, and understanding of NoSQL databases and messaging systems.
You will work closely with data scientists, cloud engineers, and product teams to build intelligent systems that operate on a scale and help build intuitive telecom networks.
Key Responsibilities:
- Design, develop, and deploy AI/ML microservices using Python and machine learning algorithms in a cloud-native environment.
- Build scalable data pipelines for training, tuning, and serving ML models in production.
- Optimize model accuracy, latency, and throughput, including hyperparameter tuning, feature engineering, and profiling model performance.
Required Skills:
- Strong programming expertise in Python
- Knowledge of core ML algorithms (Linear Regression, Logistic Regression, Decision Trees, Random Forests, SVM, KMeans, PCA, etc.)
- Exposure to Deep Learning (TensorFlow / PyTorch)
- Experience with libraries like Scikit-learn, Pandas, and NumPy
- Exposure to cloud-native microservices development (e.g., on AWS, Azure, GCP).
- Understanding of NoSQL databases like MongoDB, ElasticSearch
- Understanding of Messaging bus like Kafka or RabbitMQ
- Familiarity with Docker and Kubernetes is a plus
- Familiarity with Git, CI/CD pipelines, and Agile development methodologies.
Nice to Have:
- Interest in telecom and networking domain
Education:
Bachelor’s degree from a Tier-1 Engineering college in Computer Science, Data Science, AI/ML Engineering, or a related field.
